查找技能

Find overlapping keywords and search queries across Google Ads campaigns and ad groups. Estimate how internal competition affects cost per click, identify which keywords receive traffic, and get recommendations for pauses, match type changes, and negative keywords.

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• Cleaning up keywords in an inherited ad account
• Checking overlap after adding campaigns
• Investigating unexplained increases in cost per click

Compare Google and Meta advertising results with industry benchmarks suited to your campaign type, budget, and account context. Identify strengths, likely causes of weak performance, and improvement opportunities ranked by potential impact.

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• Finding improvement opportunities for a prospective client
• Adding context to quarterly or annual performance reviews
• Assessing whether customer acquisition costs are reasonable

Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.

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• Investigating a sudden rise in acquisition costs
• Explaining performance declines to clients
• Checking for campaign issues after the weekend

Build a question set to check whether AI assistants mention your brand. Analyze the answers you collect, compare visibility against competitors, trace cited sources, and receive a prioritized list of opportunities to address gaps.

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• Establishing a baseline for brand visibility in AI answers
• Comparing brand mentions and citations with competitors
• Tracking visibility changes each quarter

Create a complete email sequence from the target audience, offer, buying concerns, and brand voice. Get subject line options, preview text, full messages, calls to action, and a timing plan that keeps the tone consistent.

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• Writing a welcome email sequence after signup
• Creating follow-up emails that address buying concerns
• Planning a promotional email sequence for an offer

Audit Facebook and Instagram advertising data for repeated-ad fatigue, overlapping audiences, campaign structure, and conversion tracking issues. Receive an account health summary, prioritized recommendations, and opportunities to increase budgets where performance supports expansion.

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• Checking whether audiences are tiring of repeated ads
• Finding overlapping audiences across ad sets
• Reviewing Pixel and Conversions API tracking

Audit Reddit Ads data to assess community targeting, creative fit, and bidding efficiency. Get prioritized fixes, suggested communities to add or exclude, and feedback on whether ad copy suits the communities it reaches.

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• Review Reddit advertising spend and campaign performance
• Find relevant subreddit communities to target
• Revise ad copy that feels too promotional

Analyze cited URLs from AI answers to find where your business could earn mentions. Get ranked sources, citation frequency by source type, feasibility assessments, and draft outreach messages or content briefs.

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• Finding sources frequently cited in AI answers
• Prioritizing content and PR activities
• Comparing review platforms with owned content

Detect unusual changes in Google and Meta advertising performance by comparing current metrics with recent averages. Get issues ranked by estimated financial impact, likely causes supported by related changes, and recommended immediate actions.

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• Daily checks across multiple advertising accounts
• Performance checks after website or landing page changes
• Monitoring during major sales or product launches

Turn weekly Google and Meta advertising data into a plain English briefing. Compare results with the previous week and four-week average, identify urgent issues and successful campaigns, and receive specific priorities for the coming week.

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• Preparing a Monday morning advertising briefing
• Reviewing weekly results across multiple client accounts
• Drafting weekly performance updates for clients

Review a landing page from a URL or screenshot to assess headlines, action buttons, trust signals, and mobile usability. Get specific copy suggestions and a prioritized plan for addressing barriers to signups or purchases.

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• Reviewing a landing page before running ads
• Improving headlines and signup buttons
• Finding barriers for mobile visitors

Analyze Google Ads Quality Score, a keyword-level quality rating, across expected click-through rate, ad relevance, and landing page experience. Identify weak components and their causes, then prioritize fixes by potential click-cost savings and conversion impact.

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• Monthly reviews of keyword Quality Scores
• Investigating unexplained increases in click costs
• Checking quality changes after landing page updates

Compare Google and Meta campaign results across countries, states, cities, or postal codes. Identify weak and strong regions, then get recommendations for bid changes, separate campaigns, and budget redistribution based on meaningful performance differences.

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• Reallocating budgets across regions
• Reviewing results after entering new markets
• Checking quarterly shifts in regional performance

Turn Google and Meta campaign metrics into a plain English executive summary for client reports. Highlights results with specific numbers, explains likely causes, puts problems in context, and suggests next steps connected to the performance data.

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• Writing weekly and monthly client report summaries
• Explaining advertising results to internal stakeholders
• Preparing account narratives for quarterly reviews

Review Google Ads extensions, the extra links and details shown with ads, across campaigns. Find missing coverage, weak performance, and outdated information, then get replacement copy based on successful ads and landing pages, plus rollout priorities.

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• Checking extension coverage before launching campaigns
• Quarterly reviews of outdated promotional details
• Updating extensions after website changes or product launches

Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.

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• Cleaning up wasted advertising spend each month
• Auditing an advertising account for a new client
• Reviewing search terms and placements after campaign expansion

Analyze Google Ads campaign history, conversion volume, and budgets to choose suitable bidding strategies for each campaign. Get recommended targets, reasons for each choice, and a transition plan covering timing and short-term risks.

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• Choose bidding strategies for a newly managed account
• Review campaign bidding strategies each quarter
• Reassess bidding after conversion volume changes

Estimate how Google and Meta budget changes could affect acquisition costs, revenue efficiency, and conversion volume. Use historical account performance to compare spending levels, identify diminishing returns, and choose budgets with a clear rationale.

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• Estimating the effects of budget increases or cuts
• Planning quarterly advertising budgets
• Comparing campaigns with room to scale

Create consistent naming rules for Google and Meta campaigns, ad groups, ad sets, and ads. Get field definitions, allowed values, a team reference sheet, and mappings from existing names to support filtering and reporting.

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• Helping new team members navigate advertising accounts
• Organizing inconsistent names in inherited accounts
• Preparing naming rules before expanding markets or products

Analyze spending, revenue, and conversions across advertising channels to recommend budget shifts. Compare overall efficiency with the revenue gained from additional spending, identify saturation, and produce a gradual reallocation plan with monitoring priorities.

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• Reviewing budget allocation across advertising channels
• Finding channels with declining returns on extra spending
• Balancing proven campaigns with new experiments

Analyze Google and Meta campaign results by weekday and hour to recommend advertising schedules. Estimate spending reductions, conversions lost, and the impact of moving budget to better periods, while accounting for limited data.

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• Setting schedules for new advertising campaigns
• Reviewing schedules each quarter
• Improving budget allocation when funds are limited

Analyze how often people see Meta ads and where repeated exposure starts reducing performance. Get campaign-specific frequency cap recommendations, estimated spending savings, and projections of additional reach from redirecting spending toward people who have not seen the ads.

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• Investigating rising costs and audience saturation
• Auditing ad frequency across Meta campaigns each month
• Checking repeated exposure as ad budgets increase

Review Google and Meta campaign structures against goals, budgets, and conversion data. Identify excessive segmentation, overlapping targeting, and fragmented budgets, then get consolidation recommendations, an explained account structure, and a migration plan.

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• Reviewing an account inherited from another team or agency
• Running a quarterly advertising account health check
• Investigating structural causes of stalled performance

Compare Meta ad sets to identify shared audiences and estimate how internal competition affects advertising costs. Receive an overlap map, targeting issues, and recommendations for combining ad sets or excluding audiences to reduce overlap.

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• Check audience overlap when adding ad sets
• Investigate rising costs per thousand impressions
• Clean up targeting during account restructuring